Explore event-driven data mesh architecture, and how when combined with AWS, it becomes a robust solution for addressing complex data management challenges.
Here, explore various techniques for loan approvals, using models like Logistic Regression and BERT, and applying SHAP and LIME for model interpretation.
Compare statistics and machine learning, discussing their foundations, methods, applications, and differences in analyzing data for insights and predictions.
Explore the Shift Left Architecture using data streaming (Kafka/Flink) that enables data products for DWH, data lake, and lakehouses like Snowflake/Databricks.
In modern manufacturing, the key to sustaining product reliability, compliance, and efficiency lies in robust quality control and advanced maintenance management.
Learn how leveraging AI-powered software testing for healthcare domains can make a significant difference in the quality, efficiency, and reliability of care.
Affinity and anti-affinity are Kubernetes features to help you manage the schedule of your applications. Explore two scenarios where to use these features.
Learn to build a streaming application using the best of NiFi, Kafka, and Flink for event-driven apps. OpenSky networks rest feeds provide all the data.
This article explores the automation of data pipelines using Snowflake, dbt, and Airflow, detailing best practices for efficient data processing and orchestration.